Dual-loop Control Scheme with Optimized Type-III Controller based on Genetic Algorithm for 6-phase Interleaved Converter in Electric Vehicle Drivetrains

Abstract

This paper presents an optimization procedure using a genetic algorithm (GA) for the dual-loop control scheme based on type-III controllers in a 6-phase interleaved converter. Four different objective functions (i.e. integration of squared and absolute errors and their time-weighted variants) are selected as the fitness functions of the GA. Based on the optimization procedure, step and dynamic responses of current and voltage controllers are investigated for those objective functions in terms of overshoot and settling time. In this study, another approach called classical ‘k-factor’ is utilized as a benchmark for the proposed type-III controller. Furthermore, two experimental tests are performed on a 60kW SiC-based prototype to verify the controller performances. The obtained results have demonstrated that the optimized controller design exhibits better dynamic response compared to the conventional counterpart.